diff --git a/examples/pipelines/rag/r2r_pipeline.py b/examples/pipelines/rag/r2r_pipeline.py
new file mode 100644
index 0000000..1dbcc15
--- /dev/null
+++ b/examples/pipelines/rag/r2r_pipeline.py
@@ -0,0 +1,45 @@
+"""
+title: R2R Pipeline
+author: Nolan Tremelling
+date: 2025-03-21
+version: 1.0
+license: MIT
+description: A pipeline for retrieving relevant information from a knowledge base using R2R.
+requirements: r2r
+"""
+
+from typing import List, Union, Generator, Iterator
+from schemas import OpenAIChatMessage
+import os
+import asyncio
+
+
+class Pipeline:
+    def __init__(self):
+        self.r2r_client = None
+
+    async def on_startup(self):
+        from r2r import R2RClient
+
+        # Connect to either SciPhi cloud or your self hosted R2R server
+        self.r2r_client = R2RClient(os.getenv("R2R_SERVER_URL", "https://api.sciphi.ai"))
+        self.r2r_client.set_api_key(os.getenv("R2R_API_KEY", ""))
+
+        pass
+
+    async def on_shutdown(self):
+        # This function is called when the server is stopped.
+        self.r2r_client = None
+
+    def pipe(
+        self, user_message: str, model_id: str, messages: List[dict], body: dict
+    ) -> Union[str, Generator, Iterator]:
+
+        print(messages)
+        print(user_message)
+
+        response = self.r2r_client.retrieval.rag(
+            query=user_message,
+        )
+
+        return response.results.completion